Transfesa Logistics leads the consortium that promotes the SORTLOT project to improve the logistics chain with new technologies
The research is based on the joint application of various technologies such as blockchain or DLT (distributed logging technologies), IoE (Internet of Everything), distributed architectures, and Internet Physics.
Transfesa Logistics is working on the development of the SORTLOT project, which aims to improve transport and logistics chains, both for goods and passengers.
The line of research consists of the joint application of several leading technologies such as blockchain, IoE, distributed architectures, and the physical Internet. Blockchain distributed ledger technology is based on the integration of different actors that share information and documentation in a reliable, efficient, transparent, and unalterable way on a common data repository.
The combination of these developments will allow us to introduce notable improvements in different aspects of the logistics chain. On the one hand, the secure exchange of data and the anti-counterfeiting and service level guarantees that it will improve the trust among the actors in the sector. Furthermore, transparency is increased thanks to the real-time and global visibility of the physical location and situation of assets and merchandise on their respective routes, improving the traceability of the logistics chain. Another benefit achieved is simplification by reducing documentation and disintermediating the value chain; for example, by reducing, or even avoiding, dispute resolution processes. Lastly, the prediction of demand and optimization of supply results in greater efficiency and flexibility in the use of transport resources, as well as in the shaping of the market itself.
The main characteristics of SORTLOT are based on four action points. Firstly, to provide the transport chain with end-to-end traceability, researching the latest technologies and languages for software and IoE development in asset identification, process automation, integration of heterogeneous information systems, document digitisation, and event prediction. Second, to investigate novel applications of artificial intelligence technologies and Machine Learning to generate innovation in transport processes, with a special focus on the research and development of technological solutions in the cloud. Thirdly, all concepts and technologies will be applied and validated in real use cases of different transport chains and with different actors: car transport by rail, palletised merchandise transport by road, and passenger transport.
Lastly, the aim is to generate economic value by analysing the commercial application of these technological pilots to the current software products used or marketed by the members of the consortium, as well as in the management and optimization of the transport and logistics services they carry out.
The company, which was awarded this innovative project in November 2019, signed the contract in April 2020.